Includes Security, SRM, Cloud, ICM, SaaS, Business Intelligence, Data Warehouse, Database Appliances, NFM, Storage Management.
This section covers all forms of technologies that impact IT infrastructure management. Taneja Group analysts particularly focus on the interplay between server virtualization and storage, with and without virtualization, and study the impact on performance, security and management of the IT infrastructure. This section also includes all aspects of storage management (SRM, SMI-S) and the role of cross correlation engines on overall performance of an application. Storage virtualization technologies (In-band, Out-of-band, split path architectures or SPAID) are all covered in detail. Data Security, whether for data in-flight or at-rest and enterprise level key management issues are covered along with all the players that make up the ecosystems.
As databases continue to grow larger and more complex they present issues in terms of security, performance and management. Taneja Group analysts cover the vendors and the technologies that harness the power of archiving to reduce the size of active databases. We also cover specialized database appliances that have become the vogue lately. All data protection issues surrounding databases are also covered in detail. We write extensively on this topic for the benefit of the IT user.
The healthcare industry continues to face tremendous cost challenges. The U.S. government estimates national health expenditures in the United States accounted for $3.2 trillion last year – nearly 18% of the country’s total GDP. There are many factors that drive up the cost of healthcare, such as the cost of new drug development and hospital readmissions. In addition, there’s compelling studies that show medical organizations will need to evolve their IT environment to curb healthcare costs and improve patient care in new ways, such as cloud-based healthcare models aimed at research community collaboration, coordinated care and remote healthcare delivery.
For example, Goldman Sachs recently predicted that the digital revolution can save $300 billion in spending in the healthcare sector by powering new patient options, such as home-based patient monitoring and patient self-management. Moreover, the most significant progress may come from a medical organization transforming their healthcare data infrastructure. Here’s why:
- Advancements in digital medical imaging has resulted in an explosion of data that sits in picture archiving and communications systems (PACS) and vendor neutral archives (VNAs).
- Patient care initiatives such as personalized medicine and genomics require storing, sharing and analyzing massive amounts of unstructured data.
- Regulations such as the Health Insurance Portability and Accountability Act (HIPAA) require organizations to have policies for long term image retention and business continuity.
Unfortunately, traditional file storage approaches aren’t well-suited to manage vast amounts of unstructured data and present several barriers to modernizing healthcare infrastructure. A recent Taneja Group survey found the top three challenges to be:
- Lack of flexibility: Traditional file storage appliances require dedicated hardware and don’t offer tight integration with collaborative cloud storage environments.
- Poor utilization: Traditional file storage requires too much storage capacity for system fault tolerance, which reduces usable storage.
- Inability to scale: Traditional storage solutions such as RAID-based arrays are gated by controllers and simply aren’t designed to easily expand to petabyte storage levels.
As a result, healthcare organizations are moving to object storage solutions that offer an architecture inherently designed for web scale storage environments. Specifically, object storage offers healthcare organizations the following advantages:
- Simplified management, hardware independence and a choice of deployment options – private, public or hybrid cloud – lowers operational and hardware storage costs
- Web-scale storage platform provides scale as needed and enables a pay as you go model
- Efficient fault tolerance protects against site failures, node failures and multiple disk failures
- Built in security protects against digital and physical breeches
For hospitals and medical research institutes, the ability to interpret genomics data and identify relevant therapies is key to provide better patient care through personalized medicine. Many such organizations are racing forward, analyzing patients’ genomic profiles to match more clinically actionable treatments using artificial intelligence (AI).
These rapid advancements in genomic research and personalized medicine are very exciting, but they are creating enormous data challenges for healthcare and life sciences organizations. High-throughput DNA sequencing machines can now process a human genome in a matter of hours at a cost approaching one thousand dollars. This is a huge drop from a cost of ten million dollars ten years ago and means the decline in genome sequencing cost has outpaced Moore’s Law (see chart). The result is an explosion in genomic data – driving the need for solutions that can affordably and securely store, access, share, analyze and archive enormous amounts of data in a timely manner.
Challenges include moving large volumes of genomic data from cost-effective archival storage to low latency storage for analysis to reduce the time needed to analyze genetic data. Currently, it takes days to do a comprehensive DNA sequence analysis.
Sharing and interpreting vast amounts of unstructured data to find relationships between a patient’s genetic characteristics and potential therapies adds another layer of complexity. Determining connections requires evaluating data across numerous unstructured data sources, such as genomic sequencing data, medical articles, drug information and clinical trial data from multiple sources.
Unfortunately, the traditional file storage within most medical organizations doesn’t meet the needs of modern genomics. These systems can’t accommodate massive amounts of unstructured data and they don’t support both data archival and high-performance compute. They also don’t facilitate broad collaboration. Today, organizations require a new approach to genomics storage, one that enables:
- Scalable and convenient cloud storage to accommodate rapid unstructured data growth
- Seamless integration between affordable unstructured data storage, low latency storage, high performance compute, big data analytics and a cognitive healthcare platform to quickly analyze and find relationships among complex life science data types
- A multi-tenant hybrid cloud to share and collaborate on sensitive patient data and findings
- Privacy and protection to support regulatory compliance
If you are an existing customer of HPE 3PAR, this latest release of 3PAR capabilities will leave you smiling. If you are looking for an All Flash Array (AFA) to transform your data center, now might be the time to take a closer at HPE 3PAR. Since AFAs first emerged on the scene at the turn of this decade, the products have gone through various waves of innovation to achieve the market acceptance it has today. In the first wave, it was all about raw performance for niche applications. In the second wave, it was about making flash more cost effective versus traditional disk-based arrays to broaden economic appeal. Now in the final wave, it is about giving these arrays all the enterprise features and ecosystem support to completely replace all legacy Tier 0/1 arrays still in production today.
HPE 3PAR StoreServ is one of the leading AFAs on the market today. HPE 3PAR uses a modern architectural design that includes multi-controller scalability, a highly-virtualized data layer with three levels of abstraction, system-wide striping, a highly-specialized ASIC and numerous flash innovations. HPE 3PAR engineers pioneered this very efficient architecture well before flash technology became mainstream and proved that this architecture approach has been timeless by demonstrating a seamless transition to support all-flash technology. During this same time, other vendors ran into architectural controller-bound bottlenecks for flash, making them reinvent existing products or completely start from scratch with new architectures.
HPE’s 3PAR timeless architecture has meant that features introduced years before are still relevant today and features introduced today are available to current 3PAR customers that purchased arrays previously. This continuous innovation of features available to old and new customers alike provides the ultimate in investment protection unmatched by most vendors in the industry today. In this Technology Brief, Taneja Group will explore some of the latest developments from HPE that build upon the rich feature set that already exists in the 3PAR architecture. These new features and simplicity enhancements will show that HPE continues to put customer’s investment protection first and continues to expand its capabilities around enterprise-grade business continuity and resilience. The combination of economic value of HPE 3PAR AFAs with years of proven mission critical features promises to accelerate the final wave of the much-anticipated All-Flash Data Center for Tier 0/1 workloads.
Is object storage right for your organization? Many companies are asking this question as they seek out storage solutions that support vast unstructured data growth throughout their organizations. Object storage is ideal for large-scale unstructured data storage because it easily scales to several petabytes and beyond by simply adding storage nodes. Object storage also provides high fault tolerance, simplified storage management and hardware independence – core capabilities that are essential to cost-effectively manage large-scale storage environments. Add to this built-in support for geographically distributed environments and it’s easy to see why object storage solutions are the preferred storage approach for multiple use cases such as cloud-native applications, highly scalable file backup, secure enterprise collaboration, active archival, content repositories and increasingly cognitive computing workloads such as Big Data analytics.
To help you decide if object storage is right for your company and to help you understand how to apply various storage technologies, we have created a table below that positions object storage relative to block storage and file storage.
As the table shows, there are several factors that differentiate block, file and object storage. An easy way to think about the differences is the following; block storage is necessary for critical applications where storage performance is the key consideration, file storage is well-suited for highly scalable shared file systems and object storage is ideal when cloud-scale capacity and convenience as well as reliability and geographically distributed access are the major storage requirements.
A recent Taneja Group survey on IT infrastructure shows that Hyperconvergence is quickly becoming the preferred datacenter architecture of choice for traditionally oriented datacenters. Today well over half of IT decision-makers want to transition off legacy silo stacks of servers, storage, networking and complicated layers of integrating protocols into more seamless, more ideally cloud-like pools of easily and dynamically composable resources.
Furthermore, these IT organizations are discovering that in the transition to an on-premise modular, plug-and-play infrastructure they can also readily take advantage of hybrid cloud options and benefits. In fact, looking at it from the cloud side, HCI architectures are also attractive to many kinds of service providers who themselves desire a scalable, low OPEX infrastructure.
The business and IT benefits of both hyperconvergence and hybrid cloud are undeniable. Who wouldn’t want better, faster, and cheaper? The IT dream for years has been to be able to host data and applications on-site as required, but when desired, transparently leverage cloud services – for cost optimization, bursting, DR, global access, mobile and web app support, etc.. Here at Taneja Group we’ve been looking for emerging solutions that demonstrate further evolution in IT architectures by further converging HyperConverged infrastructure with hybrid cloud operations.
Enter HyperGrid, a re-born Gridstore, delivering on just that vision.
In this report, Taneja Group presents an evaluation of the current IT Cloud Management market landscape for enterprise customers. We look at this landscape as an evolution of IT operations management grown up into the cloud era. In addition to increasingly smart and capable operational monitoring and systems management, good cloud management also requires sophisticated capabilities in both automation and orchestration at scale to support end-user provisioning and agility, and detailed financial management services that reveal multi-cloud costs for analysis and chargeback or showback. Our objective is to evaluate cloud management offerings from leading vendors to enable senior business and technology leaders to decide which vendors offer the best overall solution.
In this study, we evaluated vendors with offerings in one or more of the three fundamental areas. Several well-known vendors (VMware, Microsoft, ServiceNow, HPE, IBM and BMC) have solutions in all three areas. Other vendors focus on only one or two areas, and because it’s possible to compose a broader solution from parts, we’ve evaluated popular niche solutions within each area. All companies were required to have solutions that were generally available as of April 2016. To fairly assess the offerings, we looked at a set of differentiating factors in each of the categories that we believe enterprise customers should use to qualify cloud management solutions. As a final step, to facilitate optimal enterprise selection, we also evaluated the full solution vendors at a higher level where we looked at additional value derived from integrations across areas and other important enterprise vendor engagement factors.
Within each of the three areas that we will refer to as Cloud Orchestration, Operations Management, and Financial Management, and at the vendor level for full-suite vendors, we’ve applied categories of factors for scoring as determined by our team of experts, based on customer buying criteria, technical innovation, and market drivers. The overall results of the evaluation revealed that VMware has a strong lead in today’s competitive cloud management landscape.